Reproducibility of a prediabetes classification in a contemporary population.

Diabetes Dysglycemia FPG HbA1c Oral glucose tolerance testing Prediabetes

Journal

Metabolism open
ISSN: 2589-9368
Titre abrégé: Metabol Open
Pays: England
ID NLM: 101767753

Informations de publication

Date de publication:
Jun 2020
Historique:
received: 12 02 2020
accepted: 04 03 2020
entrez: 20 8 2020
pubmed: 20 8 2020
medline: 20 8 2020
Statut: epublish

Résumé

To assess whether meeting both fasting plasma glucose (FPG) and HbA1c criteria for prediabetes in people at high risk indicates with near certainty the presence of dysglycemia on repeat testing. Observational study using data from Vitamin D and Type 2 Diabetes (D2d) study. HbA1c, FPG were measured at screening visit 1; FPG, HbA1c and 2 h plasma glucose (2hPG) measured at screening visit 2 (a median of 21 days later); participants classified as having normal glucose regulation (all 3 tests in normal range), prediabetes or diabetes (at least 1 of 3 tests in diabetes range). A predictive model was developed to estimate the probability of confirming dysglycemia and for detecting diabetes at screening visit 2 based on values of FPG and HbA1c at screening visit 1. Of 1271 participants who met both FPG and HbA1c criteria for prediabetes at screening visit 1, 98.6% exhibited dysglycemia (defined as prediabetes or diabetes) on repeat testing (84.5% were classified as having prediabetes, 14.1% were reclassified as having diabetes). Of those with diabetes, 62.6% were identified by 2hPG alone. Combined measurement of FPG and HbA1c is a reliable and reproducible measure to identify presence of dysglycemia among people at high risk. A prediction model is provided to help clinicians decide whether an oral glucose tolerance test will provide value in detecting diabetes based on the 2hPG criterion.

Identifiants

pubmed: 32812912
doi: 10.1016/j.metop.2020.100031
pii: S2589-9368(20)30011-6
pii: 100031
pmc: PMC7424833
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100031

Informations de copyright

© 2020 The Authors.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Chhavi Chadha (C)

HealthPartners Institute, 8170 33rd Ave S, Bloomington, MN 55425, USA.

Anastassios G Pittas (AG)

Tufts Medical Center, 800 Washington Street, Box #268, Boston, MA, 02111, USA.

Christine W Lary (CW)

Center for Outcomes Research and Evaluation, Maine Medical Center Research Institute, 509 Forest Avenue, Suite 200, Portland, ME, 04101, USA.

William C Knowler (WC)

National Institute of Diabetes and Digestive and Kidney Diseases, Phoenix, AZ, USA.

Ranee Chatterjee (R)

Duke University, Division of General Internal Medicine, 200 Morris Street, 3rd Floor, Durham, NC, 27701, USA.

Lawrence S Phillips (LS)

Atlanta VA Medical Center, 1670 Clairmont Rd, 151CSC, Decatur, GA, 30033, USA.
Emory University School of Medicine, 201 Dowman Drive, Atlanta, GA, 30322, USA.

Vanita R Aroda (VR)

MedStar Health Research Institute, 6525 Belcrest Road, #700, Hyattsville, MD, 20782, USA.

Michael R Lewis (MR)

Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, VT, 05405, USA.

Richard Pratley (R)

Advent Health Translational Research Institute for Metabolism and Diabetes, 301 East Princeton Street, Orlando, FL, 32804, USA.

Myrlene A Staten (MA)

National Institute of Diabetes and Digestive and Kidney Diseases, 6701 Democracy Boulevard, Bethesda, MD, 20892, USA.

Jason Nelson (J)

Tufts Medical Center, 800 Washington Street, Box #268, Boston, MA, 02111, USA.

Neda Rasouli (N)

University of Colorado, School of Medicine, 13001 E 17th Place, Aurora, CO, 80045, USA.
VA Eastern Colorado Health Care System, Rocky Mountain Regional VAMC, 1700 N Wheeling Street, Aurora, CO, 80045, USA.

Irwin Brodsky (I)

Maine Medical Partners Endocrinology and Diabetes Center, 175 US Route 1, Scarborough, ME, 04074, USA.

Classifications MeSH